Evidence map›Paper›PMID 34691322›Full record

ArticleJournal of clinical medicine research2021

Development of a Method for Estimating Dietary Salt Intake Using the Overnight Urinary Sodium/Potassium Ratio.

Yuta Sumikama, Hiroshige Aoyama, Norifumi Isu, Masaaki Nagata, Takumi Kato, Takayoshi Tsukahara

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Article in Journal of clinical medicine research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Yuta SumikamaGraduate School of Nutritional Sciences, Nagoya University of Arts and Sciences, Aichi, Japan.
Hiroshige AoyamaLIXIL Corporation, Tokyo, Japan.
Norifumi IsuLIXIL Corporation, Tokyo, Japan.
Masaaki NagataLIXIL Corporation, Tokyo, Japan.
Takumi KatoGraduate School of Nutritional Sciences, Nagoya University of Arts and Sciences, Aichi, Japan.
Takayoshi TsukaharaGraduate School of Nutritional Sciences, Nagoya University of Arts and Sciences, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are many patients who need to restrict and assess salt in their diet. However, it is difficult to estimate daily salt intake accurately and easily. Therefore, a method for estimating dietary salt intake using the overnight urinary sodium (Na)/potassium (K) ratio was developed.

methodsThe study involved 43 healthy adults (13 males, 30 females). From 2018 to 2020, subjects consumed a salt-adjusted diet for 11 - 30 days continuously, and overnight urine was collected daily. Using the previous day's salt intake as the objective variable, an equation for estimating the salt intake was developed using a general linear model. To verify the accuracy of the estimating equation, the estimated salt intake of the previous day was calculated using our equation and Tanaka's equation, which is an estimating equation from spot urine widely used in clinical practice and epidemiological studies to estimate dietary salt intake, and they were compared with the actual salt intake.

resultsThe results of the analysis showed that model 1 (previous day's salt intake (g) = 3.62 + 0.64 × urinary Na/K ratio + 0.18 × conductivity (mS/cm) - 0.43 × sex (male 0, female 1)) was the optimal model. Then, salt intake was estimated using model 1 and Tanaka's equation, and compared with actual salt intake. The Pearson's product-moment correlation coefficient between the actual and estimated salt intake was r = 0.618 (P < 0.001) and r = 0.573 (P < 0.001) for model 1 estimates and Tanaka's equation estimates, respectively. The percentages of errors within ±30% from the actual salt intake were 64.2% and 58.4% for model 1 and Tanaka's equation, respectively.

conclusionAn equation for estimating salt intake was developed using the Na/K ratio and conductivity of overnight urine. Although the applicability of this method to hypertensive patients and the elderly has not been studied and needs to be clarified in the future, the estimating equation developed is simple and may be a useful method for daily monitoring of dietary salt intake.

Indexed as

Na/K ratioPotassiumSalt intakeSodiumUrine

Identifiers

PMID34691322
PMCPMC8510648

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